Algorithm::LibLinear::DataSet
use Algorithm::LibLinear::DataSet; my $data_set = Algorithm::LibLinear::DataSet->new(data_set => [ +{ feature => +{ 1 => 0.708333, 2 => 1, 3 => 1, ... }, label => 1, }, +{ feature => +{ 1 => 0.583333, 2 => -1, 3 => 0.333333, ... }, label => -1, }, +{ feature => +{ 1 => 0.166667, 2 => 1, 3 => -0.333333, ... }, label => 1, }, ... ]); my $data_set = Algorithm::LibLinear::DataSet->load(fh => \*DATA); my $data_set = Algorithm::LibLinear::DataSet->load(filename => 'liblinear_file'); my $data_set = Algorithm::LibLinear::DataSet->load(string => "+1 1:0.70833 ..."); say $data_set->size; say $data_set->as_string; # '+1 1:0.70833 2:1 3:1 ...' __DATA__ +1 1:0.708333 2:1 3:1 4:-0.320755 5:-0.105023 6:-1 7:1 8:-0.419847 9:-1 10:-0.225806 12:1 13:-1 -1 1:0.583333 2:-1 3:0.333333 4:-0.603774 5:1 6:-1 7:1 8:0.358779 9:-1 10:-0.483871 12:-1 13:1 +1 1:0.166667 2:1 3:-0.333333 4:-0.433962 5:-0.383562 6:-1 7:-1 8:0.0687023 9:-1 10:-0.903226 11:-1 12:-1 13:1 ...
This class represents set of feature vectors with gold answers.
Constructor.
data_set is an ArrayRef of HashRef that has 2 keys: feature and label. The value of feature is a HashRef which represents a (sparse) feature vector. Its key is an index and corresponding value is a real number. The indices must be >= 1. The value of label is an integer that is class label the feature belonging.
data_set
feature
label
Class method. Loads data set from LIBSVM/LIBLINEAR format file.
Dumps the data set as a LIBSVM/LIBLINEAR format data.
The number of data.
To install Algorithm::LibLinear, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Algorithm::LibLinear
CPAN shell
perl -MCPAN -e shell install Algorithm::LibLinear
For more information on module installation, please visit the detailed CPAN module installation guide.